{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "49b58639-915d-4b85-8db2-474bd080d83b",
   "metadata": {},
   "source": [
    "### 项目概述\n",
    "基于经验、年龄、性别、职称和教育水平的薪资数据"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f0ef995-3c67-4fe6-b5e7-ccef58731e4a",
   "metadata": {},
   "source": [
    "### 项目目的\n",
    "1. 确定不同人口统计数据的薪酬趋势\n",
    "2. 分析不同行业和工作角色的性别薪酬差距\n",
    "3. 研究教育水平如何影响薪资"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17be90ff-c9fa-48ad-b829-6102a4431c8f",
   "metadata": {},
   "source": [
    "### 数据清洗（载入、去重、处理缺失值、格式调整、异常值处理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "cc6df835-03a3-42b9-813f-cf1717a7610f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset shape: (6704, 6)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Education Level</th>\n",
       "      <th>Job Title</th>\n",
       "      <th>Years of Experience</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>90000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Data Analyst</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>15.0</td>\n",
       "      <td>150000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Sales Associate</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>52.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Director</td>\n",
       "      <td>20.0</td>\n",
       "      <td>200000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Gender Education Level          Job Title  Years of Experience  \\\n",
       "0  32.0    Male      Bachelor's  Software Engineer                  5.0   \n",
       "1  28.0  Female        Master's       Data Analyst                  3.0   \n",
       "2  45.0    Male             PhD     Senior Manager                 15.0   \n",
       "3  36.0  Female      Bachelor's    Sales Associate                  7.0   \n",
       "4  52.0    Male        Master's           Director                 20.0   \n",
       "\n",
       "     Salary  \n",
       "0   90000.0  \n",
       "1   65000.0  \n",
       "2  150000.0  \n",
       "3   60000.0  \n",
       "4  200000.0  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 导入相关库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 载入数据\n",
    "data = pd.read_csv('Salary_Data.csv')\n",
    "print(f\"Dataset shape: {data.shape}\") # 查看data的形状\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3e5c9479-2be8-49ac-96b6-cca78b842138",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6704 entries, 0 to 6703\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Age                  6702 non-null   float64\n",
      " 1   Gender               6702 non-null   object \n",
      " 2   Education Level      6701 non-null   object \n",
      " 3   Job Title            6702 non-null   object \n",
      " 4   Years of Experience  6701 non-null   float64\n",
      " 5   Salary               6699 non-null   float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 314.4+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "2a82657a-8211-43b2-b226-7b091275f274",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1792 entries, 0 to 6631\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Age                  1791 non-null   float64\n",
      " 1   Gender               1791 non-null   object \n",
      " 2   Education Level      1790 non-null   object \n",
      " 3   Job Title            1791 non-null   object \n",
      " 4   Years of Experience  1790 non-null   float64\n",
      " 5   Salary               1788 non-null   float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 98.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# 处理重复值\n",
    "data.drop_duplicates(keep='first',inplace=True) \n",
    "# 'first' 表示保留第一次出现的重复行,还有'last'（保留最后一次出现的行）和 False（删除所有重复行）。\n",
    "# inplace=True: 表示直接在原 DataFrame 上进行修改，而不是返回一个新的 DataFrame。\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "c7431c73-346c-4175-8107-42458474c90a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "每列缺失值数量：\n",
      "Age                    1\n",
      "Gender                 1\n",
      "Education Level        2\n",
      "Job Title              1\n",
      "Years of Experience    2\n",
      "Salary                 4\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 检查缺失值\n",
    "missing_values = data.isnull().sum()\n",
    "print(\"每列缺失值数量：\")\n",
    "print(missing_values)\n",
    "\n",
    "# 处理缺失值，删除含有缺失值的行\n",
    "data = data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "475a972a-c04d-49f0-9589-634e9f35d45d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "每列缺失值数量：\n",
      "Age                    0\n",
      "Gender                 0\n",
      "Education Level        0\n",
      "Job Title              0\n",
      "Years of Experience    0\n",
      "Salary                 0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"每列缺失值数量：\")\n",
    "missing_values = data.isnull().sum()\n",
    "print(missing_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a2b7bb5-9399-4f65-b25c-dc227373f8cc",
   "metadata": {},
   "source": [
    "#### 必要时还需进行格式处理（例如单位换算，数据类型的转换等等）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "e3aacf51-9b29-4202-ac61-d1bdf298a131",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "基本统计信息：\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Years of Experience</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1787.00</td>\n",
       "      <td>1787.00</td>\n",
       "      <td>1787.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>35.14</td>\n",
       "      <td>9.16</td>\n",
       "      <td>113184.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.21</td>\n",
       "      <td>6.84</td>\n",
       "      <td>51596.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>21.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>350.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>29.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>70000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>33.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>110000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>41.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>160000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>62.00</td>\n",
       "      <td>34.00</td>\n",
       "      <td>250000.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Age  Years of Experience     Salary\n",
       "count  1787.00              1787.00    1787.00\n",
       "mean     35.14                 9.16  113184.66\n",
       "std       8.21                 6.84   51596.54\n",
       "min      21.00                 0.00     350.00\n",
       "25%      29.00                 3.00   70000.00\n",
       "50%      33.00                 8.00  110000.00\n",
       "75%      41.00                13.00  160000.00\n",
       "max      62.00                34.00  250000.00"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"\\n基本统计信息：\")\n",
    "data.describe().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "bf6f956f-2423-4811-8459-ea778471b5d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Salary</th>\n",
       "      <td>1787.0</td>\n",
       "      <td>113184.659765</td>\n",
       "      <td>51596.536766</td>\n",
       "      <td>350.0</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>160000.0</td>\n",
       "      <td>250000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         count           mean           std    min      25%       50%  \\\n",
       "Salary  1787.0  113184.659765  51596.536766  350.0  70000.0  110000.0   \n",
       "\n",
       "             75%       max  \n",
       "Salary  160000.0  250000.0  "
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 整体薪资分布\n",
    "plt.figure(figsize=(10, 8))  # 设置图形大小为12x8英寸\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 使用黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题\n",
    "\n",
    "# 子图1：薪资分布直方图\n",
    "plt.subplot(2, 1, 1)  # 创建2行1列的子图布局中的第一个子图\n",
    "plt.hist(data['Salary'], bins=30, alpha=0.7, edgecolor='black')  # 绘制薪资分布的直方图\n",
    "plt.title('薪资分布')  # 设置子图标题为“薪资分布”\n",
    "plt.xlabel('薪资 ($)')  # 设置X轴标签为“薪资 ($)\"\n",
    "plt.ylabel('频率')  # 设置Y轴标签为“频率”\n",
    "plt.grid(axis='y', alpha=0.3) #添加透明的为 0.3 的 Y轴网格线\n",
    "plt.tight_layout()  # 自动调整子图参数，以适应图形区域\n",
    "plt.show()  # 显示图形\n",
    "\n",
    "# 薪资的基本统计信息\n",
    "salary_stats = data['Salary'].describe().to_frame().T  # 获取薪资列的基本统计信息，并将其转换为DataFrame\n",
    "salary_stats  # 显示薪资的基本统计信息"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8fc4337-0244-4b00-8ccf-e78e5f5ef15b",
   "metadata": {},
   "source": [
    "#### 确定不同人口统计数据的薪酬趋势"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "d54c09e8-855c-4070-8e9e-dc1e20479e67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.1 年龄与薪资的关系（散点图+回归线）\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(data['Age'], data['Salary'], alpha=0.3, label='数据点')\n",
    "\n",
    "# 添加回归线\n",
    "z = np.polyfit(data['Age'], data['Salary'], 1)\n",
    "p = np.poly1d(z)\n",
    "plt.plot(data['Age'], p(data['Age']), 'r--', linewidth=1, label='趋势线')\n",
    "# 知识点：np.polyfit()用于线性回归，np.poly1d()创建多项式函数\n",
    "\n",
    "plt.title('年龄与薪资关系')\n",
    "plt.xlabel('年龄')\n",
    "plt.ylabel('薪资')\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "ebb0f0a1-4715-4514-8207-af16f3b0a3b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# 1.2 性别与薪资关系（分组条形图）\n",
    "gender_salary = data.groupby('Gender')['Salary'].mean().reset_index()\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "x = np.arange(len(gender_salary))\n",
    "plt.bar(x, gender_salary['Salary'], color=['skyblue', 'salmon'])\n",
    "\n",
    "plt.title('性别与平均薪资')\n",
    "plt.xlabel('性别')\n",
    "plt.ylabel('平均薪资')\n",
    "plt.xticks(x, gender_salary['Gender'])\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "\n",
    "# 添加数值标签\n",
    "for i, v in enumerate(gender_salary['Salary']): # i代表索引，v代表值，\n",
    "    plt.text(i, v + 1000, f'{v:,.0f}', ha='center') # x为 i，y为 v+1000，居中。\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "c5561cd1-7553-4edb-8140-89725997c996",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.3 工作经验与薪资关系（带趋势线的散点图）\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(data['Years of Experience'], data['Salary'], alpha=0.3)\n",
    "\n",
    "# 添加回归线\n",
    "z = np.polyfit(data['Years of Experience'], data['Salary'], 1)\n",
    "p = np.poly1d(z)\n",
    "plt.plot(data['Years of Experience'], p(data['Years of Experience']), 'r--', linewidth=2)\n",
    "\n",
    "plt.title('工作经验与薪资关系')\n",
    "plt.xlabel('工作经验(年)')\n",
    "plt.ylabel('薪资')\n",
    "plt.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "bd863b57-4092-4fca-ae0d-5867d9b60529",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.4 职称与薪资关系（前10常见职位）\n",
    "top_jobs = data['Job Title'].value_counts().head(10).index\n",
    "top_jobs_data = data[data['Job Title'].isin(top_jobs)]\n",
    "\n",
    "# 按职位分组计算薪资中位数\n",
    "job_salary = top_jobs_data.groupby('Job Title')['Salary'].median().sort_values()\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "# job_salary.plot(color='steelblue')\n",
    "job_salary.plot(kind='barh', color='steelblue')  # 水平条形图更易阅读长名称\n",
    "\n",
    "plt.title('不同职称的薪资中位数 (前10常见职位)')\n",
    "plt.xlabel('薪资中位数')\n",
    "plt.ylabel('')\n",
    "plt.grid(axis='x', alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 知识点：value_counts()用于计数，groupby().median()计算中位数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f9fb9b5-cd5a-4b7d-9f32-d435a4fda00e",
   "metadata": {},
   "source": [
    "#### 分析不同行业和工作角色的性别薪酬差距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1a3ca8c0-0505-4613-aa25-8cd3092c8185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Education Level</th>\n",
       "      <th>Job Title</th>\n",
       "      <th>Years of Experience</th>\n",
       "      <th>Salary</th>\n",
       "      <th>Exp_Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>90000.0</td>\n",
       "      <td>0-5年</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Data Analyst</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65000.0</td>\n",
       "      <td>0-5年</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>15.0</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>10-15年</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Sales Associate</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>5-10年</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>52.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Director</td>\n",
       "      <td>20.0</td>\n",
       "      <td>200000.0</td>\n",
       "      <td>15-20年</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Gender Education Level          Job Title  Years of Experience  \\\n",
       "0  32.0    Male      Bachelor's  Software Engineer                  5.0   \n",
       "1  28.0  Female        Master's       Data Analyst                  3.0   \n",
       "2  45.0    Male             PhD     Senior Manager                 15.0   \n",
       "3  36.0  Female      Bachelor's    Sales Associate                  7.0   \n",
       "4  52.0    Male        Master's           Director                 20.0   \n",
       "\n",
       "     Salary Exp_Group  \n",
       "0   90000.0      0-5年  \n",
       "1   65000.0      0-5年  \n",
       "2  150000.0    10-15年  \n",
       "3   60000.0     5-10年  \n",
       "4  200000.0    15-20年  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2.1 创建工作经验分组\n",
    "data['Exp_Group'] = pd.cut(data['Years of Experience'], \n",
    "                          bins=[0, 5, 10, 15, 20, 30],\n",
    "                          labels=['0-5年', '5-10年', '10-15年', '15-20年', '20+年'])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "83a9e8a6-b31b-4932-8448-2871e3764180",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\朱捷登\\AppData\\Local\\Temp\\ipykernel_17472\\2718311433.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  exp_gender = data.groupby(['Exp_Group', 'Gender'])['Salary'].mean().unstack()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Other</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exp_Group</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0-5年</th>\n",
       "      <td>64203.669753</td>\n",
       "      <td>65990.708709</td>\n",
       "      <td>65942.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5-10年</th>\n",
       "      <td>113757.000000</td>\n",
       "      <td>117623.307087</td>\n",
       "      <td>104127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10-15年</th>\n",
       "      <td>143262.573248</td>\n",
       "      <td>151084.120482</td>\n",
       "      <td>161393.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15-20年</th>\n",
       "      <td>170268.838235</td>\n",
       "      <td>173807.261194</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20+年</th>\n",
       "      <td>174979.282609</td>\n",
       "      <td>185605.352113</td>\n",
       "      <td>158610.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender            Female           Male     Other\n",
       "Exp_Group                                        \n",
       "0-5年        64203.669753   65990.708709   65942.0\n",
       "5-10年      113757.000000  117623.307087  104127.0\n",
       "10-15年     143262.573248  151084.120482  161393.0\n",
       "15-20年     170268.838235  173807.261194       NaN\n",
       "20+年       174979.282609  185605.352113  158610.0"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2.2 不同经验组的性别薪资差异\n",
    "exp_gender = data.groupby(['Exp_Group', 'Gender'])['Salary'].mean().unstack()\n",
    "exp_gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "05e6e375-d661-43c4-9330-2f737e2e3856",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "width = 0.35\n",
    "x = np.arange(len(exp_gender))\n",
    "\n",
    "# 绘制男性和女性的条形图\n",
    "plt.bar(x - width/2, exp_gender['Male'], width, label='男性')\n",
    "plt.bar(x + width/2, exp_gender['Female'], width, label='女性')\n",
    "\n",
    "plt.title('不同工作经验组的性别薪资差异')\n",
    "plt.xlabel('工作经验分组')\n",
    "plt.ylabel('平均薪资')\n",
    "plt.xticks(x, exp_gender.index) # 设置X轴的刻度标签。\n",
    "plt.legend() # 添加图例。\n",
    "plt.grid(axis='y', alpha=0.3) \n",
    "\n",
    "# 添加差异标签\n",
    "for i in range(len(exp_gender)):\n",
    "    gap = exp_gender['Male'].iloc[i] - exp_gender['Female'].iloc[i]\n",
    "    plt.text(i, max(exp_gender.iloc[i]) + 5000, f'+{gap:,.0f}', ha='center')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 知识点：pd.cut()用于分箱，groupby().mean().unstack()创建透视表"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30fdc104-11c6-4e1a-b0d3-299584be13af",
   "metadata": {},
   "source": [
    "#### 研究教育水平如何影响薪资"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "ddc2d216-bedf-46db-83dc-b65b47802ed4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\朱捷登\\AppData\\Local\\Temp\\ipykernel_17472\\347724666.py:10: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n",
      "  plt.boxplot(edu_data, labels=education_order)\n"
     ]
    },
    {
     "data": {
      "image/png": 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iYmIUHx+vHTt2qEuXLi59KoOir6+vWrRoIelUaKwcSf69kydPql+/frJYLNq4caMuv/xyvfrqq3rmmWc0Z84cjR07VlarVU888YRWrFghX19fhYSEVLka+G9rlORyG6rfqpzGfbp6JOmpp57SyJEj1blzZ5flb7zxhi677DLFxcXppptuqrLeDTfcoCNHjjhv5VWp8tZpo0ePdpluXVFRIbvdrp49e2rz5s3O5aNGjdK8efOcj0NCQpz/vuOOOzRjxgwtWLBAjz76qOx2u0vg/Oijj1RSUiIvLy9ZrVaFhobqtdde0zXXXKPS0lJ5e3srMTFRH374oYYMGaK+ffvqwQcf1JgxY1xqDggIkLe3t2bNmqU777xTknT8+HGVl5e73Jps7ty5LrVXqrx6u3RqNsE333wji8WigQMHOn8upFOzLCrDdqWCggINGjRIv/76q7744gt99NFH2r9/v/NWcpX7/+2t5SpPhwAANHwEbwBAo2Oz2dS2bVu99tprmjhx4ln7N2/eXCtXrtTnn39eJXRLp8JkdcrKyk67vU8++UTh4eHy8fGR3W7XAw88oJUrV6pPnz5at26doqOjNXr0aA0cOFBFRUUaPnz4Wev8bbg7F6+++qq+/fZbff/991Xa+vXrpxkzZmjMmDFq2bKlrrrqKpf2ypHt36u8ndh//vMfl0B6Or6+vqe9X7m3t7fGjBmjxYsX69FHH1VxcbF8fX2d7T/99JPzAwObzSaHw6HY2Fjn+5KWlqaysjK1bdv2rHV4eHjIz89P7dq1kyR9+OGHeuKJJ3T48GHn61vT13nFihW69NJLFRgY6Fx28uRJHT9+3OWDBUny9/fX3LlzFRYWph49euijjz6q0T4AAI0DwRsA0Cg9+OCD59S/bdu2zlHQ3yspKZEkRUREuCz/beCqbp1ly5Zp9+7d2rVrl6xWq2688UYFBQUpIiJCAwcOVHh4uKKiopSSkqL09PSz1njo0KFqby3lcDhOO+193bp1mjZtmh5//HH17t272j4zZ87Url27dM011+jpp5/Wgw8+6DLVuy5MnTpVjz32mKRT4dXf39/ZdvHFFysvL09JSUm677771Lt3b7322mtq3bq1wsPD9e2338rX1/e058j/1u/PT1+1apVuuOEGeXl56fjx487XsfI9P52srCx98MEHmjt3rsvyAwcOSFKV4C2dmj1QyTCMs9Z6ug98AAAND8EbANCknE+Y6dixo/bt21dl+ZmuQD179mzt2rVLUVFRuuyyy/Tpp59qxYoVLiPbhw8fdga1rKys0943utKZzimvTlJSku655x5dffXVeuKJJ07bz2KxaPHixWrXrp2eeOIJvfrqq1q7dq0uvfTSc9rfmRQVFWn//v2nbQ8NDXX+++jRoy7Bu7y8XJMmTdKvv/6qSZMmSTr1Pj711FNq06aNQkJCFBkZ6fxQ4kyh9v7779fll18uwzD0/PPP69tvv9V///tfffLJJ7r77rsVGxurm2++Wffff/9pt5GVlaXrrrtOvXr10oQJE1zadu7cKan64P1bdrv9tG0rVqzQN998o++//17jxo0743YAAA0DwRsA0KSUlpZWe2urM7HZbKedJl2p8pznSsuWLXOen2sYhh5++GE1b97c2f7111/rtttu09VXX62pU6fqnnvuUXZ2th599FG1bNnSZVuV9ZaVlVV7Hvcvv/yiNm3aOM8FrzRgwACNGTNGr7/+epWR8t9Pk7darZo3b57++Mc/6uDBg2cN3ZUfYNRk5NbhcOjTTz/Vp59+WmV5dbZv3+4ym2DmzJnKy8vT559/rvLychUXF8vT01NLly7V+++/r2effdbl6t92u73KyHZlzX/605/01VdfacKECTp8+LDWrVunXr16qVu3bvLw8NDf//53JSQkqHPnzrr//vt13333OV/XoqIivfPOO3rqqacUEhKi1atXO9/jf/7zn86Lr4WHh1d5D6vz2/eroqLC+VoWFxdr4cKFGjFihBISEs66HQBA/cdVzQEATUpZWdlZpxFLp6Y718SKFSt0yy236LPPPnO5IFhlIEtKSlJ0dLTsdrvatWunb775RjfccIOuu+46TZkyRYsWLdK4ceO0fPly/f3vf9cll1yiI0eOuOzjTPW+88476tSpk/r06aNu3bq5tFXe7/q3F5Z7++23deedd+rgwYPVnhM9YsQI3XPPPWd93pXBtrqA+3t2u1133HGHDMNwflUur7RixQqNHTtWV155pVasWKFRo0Y52/7617/qq6++0s6dO9W6dWuVlpaqR48eatmypSwWiyoqKnT77bc7+5eVlVWp65NPPpGnp6e6d++u119/XTfffLOys7M1ePBgSacuXHfrrbdq7dq12rZtm/r27evy4Yl06kJ0U6dO1V133aX//Oc/Lq9fUFCQ3nzzTUVERGjZsmVnfU3efPNNl/O8HQ6H88OQW265RcePH9enn35aowAPAKj/GPEGADQp69evr1G/yltbnU3btm312WefqXv37ho/fnyV9q5du6pnz5565plnFBYWpsOHD6tDhw7atWuX8wJfknT99dcrOztb//3vf6tc3TwyMvK0I8tjxozRiBEjanRhMelUQMzJydG8efOqvYp5TVWGxJoE70mTJlUZqU9LS3O5hVlERIRee+01RUZG6uWXX3a5tZrVapWvr68iIyO1detW9ejRw7m9+++/XzfffLNLQN29e3eVGkaNGqXAwED17dtXwcHBZ6y3V69eWrZsmex2u8vpBA8++KBuvvnmKlcsl6TLLrusygcm58Jut8swjCpXdAcANA4WoyZzxAAAQLUqR3B/e0stAACA3yJ4AwAAAABgIj6eBwAAAADARARvAAAAAABMRPAGAAAAAMBEXNX8AlRUVOjgwYPy8/NzueopAAAAAKBxMwxDhYWFuuiii856kVWC9wU4ePCgQkJC3F0GAAAAAMBN9u3bp44dO56xD8H7Avj5+Uk69UL7+/u7uRoAAAAAQF0pKChQSEiIMxeeCcH7AlROL/f39yd4AwAAAEATVJPTjrm4GgAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACYieAMAAAAAYCKCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACYieAMAAAAAYCKCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAm8nB3AQCApsfhcCgtLU15eXlq3769oqOjZbPZ3F0WAACAKdwy4r1ixQp16dJFHh4euvzyy5WVlSVJmjx5siwWi/MrLCzMuU5mZqYGDRqkwMBATZ8+XYZhmNoGADBHSkqKwsLCFBMTo8TERMXExCgsLEwpKSnuLg0AAMAUdR68d+/erTvvvFNz5szRgQMHdPHFF2v8+PGSpIyMDK1evVrHjh3TsWPH9P3330uS7Ha7Ro4cqQEDBmjTpk3asWOHkpKSTGsDAJgjJSVFCQkJ6t27t9LT01VYWKj09HT17t1bCQkJhG8AANAoWYw6HuZdtWqV9u/fr4kTJ0qS/v3vf+uaa67RyZMnFRQUpIMHD6pFixYu6yxfvlx33XWX9u/fL19fX23dulX33XefNmzYYEpbTRUUFKhly5bKz8+Xv79/rb5OANDYOBwOhYWFqXfv3lq+fLms1v/32W9FRYXi4uKUmZmpnJwcpp0DAIB671zyYJ2f4z1ixAiXxz/88IPCwsK0bds2GYahvn376sCBA7ryyiu1cOFCderUSVu3blVkZKR8fX0lSX369NGOHTskyZS207Hb7bLb7c7HBQUFkk79h7GiouKCXhcAaOzWr1+v3Nxcffjhh5JU5ffmww8/rCuuuELr16/X0KFD3VAhAACnFBUVKTs729R9lJSUKDc3V6GhofL29jZ1X5IUHh7uzD6oHeeSAd16cbXS0lLNnTtXU6ZMUVZWlnr27KlXX31VrVu31gMPPKAJEyZozZo1KigoUOfOnZ3rWSwW2Ww2HTt2zJS2wMDAauudPXu2Zs6cWWX5kSNHVFJSUhsvCQA0Wj/88IMkqW3btjp8+HCV9rZt2zr79ejRo05rAwDgt7Zt26bhw4e7u4xa9cUXX6hPnz7uLqNRKSwsrHFftwbvxx9/XC1atNA999yjZs2aafTo0c621157TV26dFFBQYE8PDzk5eXlsq63t7eKiopMaTtd8J4xY4amTp3qfFxQUKCQkBC1adOGqeYAcBbdu3eXJB06dEiRkZFV2nfv3u3sFxwcXKe1AQDwW1FRUfruu+9M3Ud2drZuu+02ffDBBwoPDzd1XxIj3mY4l5kKbgve69at05tvvqmNGzeqWbNmVdoDAgJUUVGhvLw8BQUFKTMz06W9sLBQnp6eprSdjpeXV5WwLklWq9XlXEUAQFVXXnmlQkNDNWfOnGrP8X7++efVuXNnXXnllfxOBQC4VYsWLTRw4EBT91H5t65Hjx7q37+/qfuCOc7l/ytu+Z/Nnj17NHr0aC1YsMA5nXDq1KlaunSps893330nq9WqkJAQDRo0SBs3bnS25ebmym63KygoyJQ2AEDts9lseumll7Rq1SrFxcW5XNU8Li5Oq1at0ty5c7mwGgAAaHTqPHgXFxdrxIgRiouLU2xsrE6cOKETJ07o0ksv1WOPPaavv/5aX331lSZPnqyxY8fK19dXQ4YMUX5+vt5//31J0pw5c3TVVVfJZrOZ0gYAMEd8fLySk5O1fft2RUVFyd/fX1FRUcrMzFRycrLi4+PdXSIAAECtq/PbiS1fvlw33nhjleU//vij3nrrLb355pvy8/PTjTfeqFmzZql58+bO9RITE+Xn5yeHw6H169erZ8+eprXVBLcTA4Dz43A4lJaWpry8PLVv317R0dF88AkAaFI2b96sAQMGKCMjg6nmDdS55ME6D94X4sCBA9q0aZOioqLUpk0b09vOhuANAAAA4HwQvBu+en0f7wvRoUMHdejQoc7aAAAAAAC4UFw2FgAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwkVuC94oVK9SlSxd5eHjo8ssvV1ZWliQpMzNTgwYNUmBgoKZPny7DMJzr1HUbAAAAAAC1oc6D9+7du3XnnXdqzpw5OnDggC6++GKNHz9edrtdI0eO1IABA7Rp0ybt2LFDSUlJklTnbQAAAAAA1JY6D95ZWVmaNWuWbr75ZrVt21aTJk3Spk2btGbNGuXn52vevHnq2rWrZs2apXfeeUeS6rwNAAAAAIDa4lHXOxwxYoTL4x9++EFhYWHaunWrIiMj5evrK0nq06ePduzYIUl13gYAAAAAQG2p8+D9W6WlpZo7d66mTJmiPXv2qHPnzs42i8Uim82mY8eOqaCgoE7bAgMDq63XbrfLbrc7HxcUFEiSKioqVFFRceEvCAAAgKSioiJlZ2ebuo+SkhLl5uYqNDRU3t7epu5LksLDw50DHgDkzA9kiYbrXN43twbvxx9/XC1atNA999yjxx9/XF5eXi7t3t7eKioqkoeHR522nS54z549WzNnzqyy/MiRIyopKanx8wYAADiTbdu2afjw4e4uo1Z98cUX6tOnj7vLAOqNo0ePOr8fPnzYzdXgfBQWFta4r9uC97p16/Tmm29q48aNatasmYKCgpSZmenSp7CwUJ6ennXedjozZszQ1KlTnY8LCgoUEhKiNm3ayN/f/5yePwAAwOlERUXpu+++M3Uf2dnZuu222/TBBx8oPDzc1H1JjHgDvxcUFOT8Hhwc7OZqcD7OZbaQW4L3nj17NHr0aC1YsEA9evSQJA0aNEhvv/22s09ubq7sdruCgoLqvO10vLy8qoySS5LVapXVyi3RAQBA7WjRooUGDhxo6j4q/+/So0cP9e/f39R9Aaiq8hgkSzRc5/K+1fk7XFxcrBEjRiguLk6xsbE6ceKETpw4oejoaOXn5+v999+XJM2ZM0dXXXWVbDabhgwZUqdtAAAAAADUFothGEZd7nD58uW68cYbqyz/8ccftWXLFiUmJsrPz08Oh0Pr169Xz549nevVZVtNFBQUqGXLlsrPz2eqOQAAaFA2b96sAQMGKCMjgxFvwA04Bhu+c8mDdT7VPC4uTqfL+qGhocrJydGmTZsUFRWlNm3auKxXl20AAAAAANQGt17VvDodOnRQhw4d6kUbAAAAAAAXirP4AQAAAAAwUb0b8QYAuF9RUZGys7NN3UdxcbFyc3MVGhoqHx8fU/clcSsjAADgPgRvAEAV2dnZGjBggLvLqFVcvAYAALgLwRsAUEV4eLgyMjJM3UdWVpbGjBmjxYsXKyIiwtR9SaeeEwAAgDsQvAEAVfj6+tbZ6HBERAQj0QAAoFHj4moAAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAiQjeAAAAAACYiOANAAAAAICJCN4AAAAAAJiI+3gDAAAAaFBycnJUWFjo7jIuSFZWlsv3hs7Pz0/dunVzdxn1FsEbAAAAQIORk5OjSy65xN1l1JoxY8a4u4Ras3PnTsL3aRC8AQAAADQYlSPdixcvVkREhJurOX/FxcXKzc1VaGiofHx83F3OBcnKytKYMWMa/CwEMxG8AQAAADQ4ERER6t+/v7vLuCCDBw92dwmoI1xcDQAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAE3m4uwAAAICGJicnR4WFhe4u44JkZWW5fG/o/Pz81K1bN3eXAQDVIngDAACcg5ycHF1yySXuLqPWjBkzxt0l1JqdO3cSvgHUSwRvAACAc1A50r148WJFRES4uZrzV1xcrNzcXIWGhsrHx8fd5VyQrKwsjRkzpsHPQgDQeBG8AQAAzkNERIT69+/v7jIuyODBg91dAgA0CVxcDQAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBHBGwAAAAAAExG8AQAAAAAwkYe7CwAAAACAc9GuhUU+x3dKBxlHrA98ju9UuxYWd5dRrxG8AQAAADQoEwZ4KuLrCdLX7q4EkhShU+8JTo/gDQAAAKBBeSujVLc8maSI8HB3lwJJWdnZeuulRN3g7kLqMYI3miSHw6G0tDTl5eWpffv2io6Ols1mc3dZAAAAqIGfTxgqDrhEuqivu0uBpOKfK/TzCcPdZdRrnBSBJiclJUVdu3ZVTEyMEhMTFRMTo65duyolJcXdpQEAAABohAjeaFJSUlJ000036fDhwy7LDx8+rJtuuonwDQAAAKDWEbzRZDgcDk2cOFGSNGzYMKWnp6uwsFDp6ekaNmyYJGnSpElyOBzuLBMAAABAI0PwRpORmpqqI0eO6IorrtCKFSsUGRmpFi1aKDIyUitWrNAVV1yhw4cPKzU11d2lAgAAAGhECN5oMioD9cyZM2W1uv7oW61WPfXUUy79AAAAAKA2ELwBAAAAADARwRtNxtChQyVJTz31lCoqKlzaKioq9PTTT7v0AwAAAIDaQPBGkzF06FAFBwdrw4YNio2Ndbm4WmxsrL755hsFBwcTvAEAAADUKg93FwDUFZvNpgULFighIUFffvmlVq1a5Wzz9fWVxWLRggULZLPZ3FglAAAAgMaGEW80KfHx8UpOTlbbtm1dlrdt21bJycmKj493U2UAAAAAGitGvNHkxMfHKzY2VmlpacrLy1P79u0VHR3NSDcAAAAAUxC80STZbDbO5QYAAABQJ5hqDgAAAACAiRjxRpPkcDiYag4AAACgTjDijSYnJSVFYWFhiomJUWJiomJiYhQWFqaUlBR3lwYAAACgESJ4o0lJSUlRQkKCDh065LL80KFDSkhIIHwDAAAAqHUEbzQZDodDkyZNkmEYGjZsmNLT01VYWKj09HQNGzZMhmFo0qRJcjgc7i4VAAAAQCNC8EaTkZqaqsOHD+uKK67QihUrFBkZqRYtWigyMlIrVqzQ4MGDdfjwYaWmprq7VAAAAACNCMEbTUZloJ45c6asVtcffavVqqefftqlHwAAAADUBoI3AAAAAAAmInijyRg6dKgk6amnnlJFRYVLW0VFhWbOnOnSDwAAAABqA/fxRpMxdOhQtWnTRhs2bNANN9yga6+9Vj4+PiouLtaaNWu0YcMGBQcHE7wBAAAA1CqCN5oMm82mN998UzfddJM+//xzrV692tlmsVgkSQsWLJDNZnNXiQAAAAAaIaaao0ny8vJyeezt7e2mSgAAAAA0dgRvNBkOh0PTpk3TyJEjVVBQoH//+9/66KOP9O9//1v5+fkaOXKkHnzwQe7jDQAAAKBWMdUcTUZaWppyc3O1ZMkSNWvWrMq53DNmzFBUVJTS0tI4zxsAAABArWHEG01GXl6eJKlXr17Vtlcur+wHAAAAALWB4I0mo3379pKkzMzMatsrl1f2AwAAAIDaQPBGkxEdHa3Q0FDNmjWr2vt4z549W507d1Z0dLSbKgQAAADQGBG80WTYbDa99NJLWrVqleLi4pSenq7CwkKlp6crLi5Oq1at0ty5c7mdGAAAAIBa5bbg/euvv6pz587Kzc11Lps8ebIsFovzKywszNmWmZmpQYMGKTAwUNOnT5dhGKa2oXGKj49XcnKytm/frqioKPn7+ysqKkqZmZlKTk5WfHy8u0sEAAAA0Mi4JXj/8ssvGjFihEvolqSMjAytXr1ax44d07Fjx/T9999Lkux2u0aOHKkBAwZo06ZN2rFjh5KSkkxrQ+MWHx+vXbt2udxOLCcnh9ANAAAAwBRuCd633nqrbr31Vpdl5eXlyszM1JAhQxQQEKCAgAD5+flJktasWaP8/HzNmzdPXbt21axZs/TOO++Y1obGz2azaejQofrzn/+soUOHMr0cAAAAgGncch/vhQsXqkuXLvrLX/7iXLZt2zYZhqG+ffvqwIEDuvLKK7Vw4UJ16tRJW7duVWRkpHx9fSVJffr00Y4dOyTJlLbTsdvtstvtzscFBQWSTl2Y6/cX6wIAnFnl701+h6Kh4We3/uE9aVp4v+ufpvqenMtzdUvw7tKlS5VlWVlZ6tmzp1599VW1bt1aDzzwgCZMmKA1a9aooKBAnTt3dva1WCyy2Ww6duyYKW2BgYHV1j179mzNnDmzyvIjR46opKTkvF4LAGiqjh496vx++PBhN1cD1Bw/u/UP70nTwvtd/zTV96SwsLDGfd0SvKszevRojR492vn4tddeU5cuXVRQUCAPDw95eXm59Pf29lZRUZEpbacL3jNmzNDUqVOdjwsKChQSEqI2bdrI39//vJ43ADRVQUFBzu/BwcFurgaoOX526x/ek6aF97v+aarvibe3d4371pvg/XsBAQGqqKhQXl6egoKClJmZ6dJeWFgoT09PU9pOx8vLq0pYlySr1SqrlTuzAcC5qPy9ye9QNDT87NY/vCdNC+93/dNU35Nzea715lWZOnWqli5d6nz83XffyWq1KiQkRIMGDdLGjRudbbm5ubLb7QoKCjKlDQAAAACA2lJvgnffvn312GOP6euvv9ZXX32lyZMna+zYsfL19dWQIUOUn5+v999/X5I0Z84cXXXVVbLZbKa0AQAAAABQW+rNVPPbb79dWVlZio2NlZ+fn2688UbNmjVLkuTh4aGFCxcqMTFR06dPl8Ph0Pr1601rAwAAAACgtrg1eBuG4fJ49uzZmj17drV94+LilJOTo02bNikqKkpt2rQxtQ0AAAAAgNpQb0a8a6JDhw7q0KFDnbUBAAAAAHCh6s053gAAAAAANEYEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQN6j7eAAAAAJq2oqIiSdLmzZvdXMmFKS4uVm5urkJDQ+Xj4+Puci5IVlaWu0uo9wjeAAAAABqM7OxsSdLdd9/t5krwe35+fu4uod4ieAMAAABoMOLi4iRJ4eHh8vX1dW8xFyArK0tjxozR4sWLFRER4e5yLpifn5+6devm7jLqLYI3AADAOWrXwiKf4zulg1wupz7wOb5T7VpY3F0G6kjr1q01fvx4d5dRayIiItS/f393lwGTEbwBAADO0YQBnor4eoL0tbsrgSRF6NR7AgD1FcEbAADgHL2VUapbnkxSRHi4u0uBpKzsbL31UqJucHchAHAaBG8AAIBz9PMJQ8UBl0gX9XV3KZBU/HOFfj5huLsMADgtTkwCAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMdN7Bu7S0tDbrAAAAAACgUapx8M7KynL++6efflL//v2r9Pn111/11Vdf1U5lAAAAAAA0Ah417dirVy/Fx8fr008/VWZmpoKCgpSUlCRJqqioUJ8+fbR27VotW7ZMGRkZZtULAAAAAECDUuPg3a5dO1111VWSpE8++USJiYl66KGHNGzYMEmSn5+f3n77bc2fP9+cSgEAAAAAaIBqPNXcy8tL99xzj5KTk7Vjxw6NGzdOhmFoyZIlWrJkiQICAmS1WhUbG2tmvQAAAAAANCg1HvE2DEMDBw7Uvn37tG3bNjVr1kwWi8XZnpKSorvuusuUIgEAAAAAaKjOGrzLyso0fvx4WSwWvfrqq0pKStL111+vtLQ0GYahPXv2KDMzU/Pnz1dFRUVd1AwAAAAAQINx1qnmpaWlstvt+vXXX9WyZUstXLhQw4YN0+uvvy6LxaKcnByNHz9ePXr0UG5ubh2UDAAAAABAw3HW4N28eXN9/PHHSkpKUkJCgiTp//7v//T+++9LkoYPH67Dhw/r2WefVVxcnEpKSsytGAAAAACABqTGF1cbPny4vvzyS+Xm5qpDhw4aPXq0S3tiYqKGDRumt956q9aLBAAAAACgoarRxdUMw3BOL3/jjTdksVi0aNEivfTSS7r33nslSR06dND48eM1ceJE/d///Z+pRQMAAAAA0FDUKHi//vrratOmjfr376833nhDsbGxmjhxombMmOHs4+/vr379+umHH35QUVGRfH19TSsaAJq6nJwcFRYWuruMC5KVleXyvaHz8/NTt27d3F0GAACoh2oUvFu1aqVXXnlFkuTp6aklS5YoLi5Ozz77rFq3bu3Sd9SoUbLb7QRvADBJTk6OLrnkEneXUWvGjBnj7hJqzc6dOwnfAACgihoF71tuuUVpaWnq3LmzJCkgIECpqanauHFjleD9zjvv1H6VAACnypHuxYsXKyIiws3VnL/i4mLl5uYqNDRUPj4+7i7ngmRlZWnMmDENfhYCAAAwR42Cd0VFhaZNm6ZNmzbpoYce0rhx49S9e3fdeuut3EIMANwkIiJC/fv3d3cZF2Tw4MHuLgEAAMB0NQreHh4e8vT0lCT98MMP2r9/v7p37y6LxaK77rrL2a+8vFwlJSVaunSpOdUCAAAAANDA1Ch4/9Zll12m/fv3S5K8vLw0fPhwZ1tZWZnsdnvtVQcAAAAAQAN31uDtcDi0Zs0aFRQUaNOmTQoLC9P333+vw4cPy2q1KjY2Vt7e3nVRKwAAAAAADY71bB3Kysr04osv6sCBA/rkk08UHBysv/3tb7rkkkt04MABBQYGqlWrVrr66qs1b948HT16tC7qBgAAAACgQThr8Pb29tb69esVHh6uF198UUOHDtWWLVt0/Phx/fWvf9XJkyf1t7/9Tffee6++/vprRUREcFVXAAAAAAD+f2cN3pUsFoukUyPgt956q/Lz8/XKK6+ooqJCzz77rI4fP65mzZrp66+/lp+fn2kFAwAAAADQkNQoeC9dulTHjx/Xf//7X3l6espqteoPf/iD7Ha7PDw85OXlpR49eigpKUndu3c3u2YAAAAAABqMGgXvDz/8UIcPH9aiRYs0efJkeXp66vvvv5dhGAoODtaOHTt0/fXXq0uXLho2bJjZNQMAAAAA0GDUKHivWLFC3bp10z333KOWLVtKklavXq2goCD9+OOPioiI0KZNm7Rr1y7t2bNHP/30k6lFAwAAAADQUJzTOd6DBg3SM888o9LSUn3//fcqLS1V8+bNZRiG7rvvPq1cuVLr1q3TxRdfbGbNAAAAAAA0GDUK3g6HQ6WlpZKk0tJSlZeX65lnnpHdbld5ebkuvfRSvfvuu5o7d67Ky8tNLRgAAAAAgIbEo6Ydp0yZIkny8vLSli1bJEmLFy+Wh4eHPvjgA0nSmjVr1LZt29qvEgAAAACABqpGI942m02jR4+usjw6OtrlMaEbAAAAAABXNT7HGwAAAAAAnDuCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACYieAMAAAAAYCKCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACYieAMAAAAAYCKCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACbycHcBgDuUlpbqjTfe0O7du9W1a1fde++98vT0dHdZAAAAABohgjeanIceekjz589XeXm5c9n06dM1ZcoUvfDCC26sDAAAAEBjxFRzNCkPPfSQXnzxRbVq1UqLFi1SXl6eFi1apFatWunFF1/UQw895O4SAQAAADQyBG80GaWlpZo/f77atm2r/fv3a/z48WrXrp3Gjx+v/fv3q23btpo/f75KS0vdXSoAAACARoTgjSbjjTfeUHl5uZ599ll5eLieZeHh4aG//vWvKi8v1xtvvOGmCgEAAAA0RgRvNBm7d++WJI0YMaLa9srllf0AAAAAoDYQvNFkdO3aVZK0atWqatsrl1f2AwAAAIDaQPBGk3HvvffKw8NDjz/+uMsVzSWpvLxcTz75pDw8PHTvvfe6qUIAAAAAjZHbgvevv/6qzp07Kzc317ksMzNTgwYNUmBgoKZPny7DMNzWhsbH09NTU6ZM0aFDh9SxY0ctXLhQBw8e1MKFC9WxY0cdOnRIU6ZM4X7eAAAAAGqVW+7j/csvv2jkyJEuodtut2vkyJEaPny4Pv74Yz3wwANKSkrSnXfeWedtaLwq79M9f/58TZgwwbncw8ND06dP5z7eAICzKioqkiRt3rzZzZVcmOLiYuXm5io0NFQ+Pj7uLueCZGVlubsEADgzww2GDRtmvPzyy4Yk48cffzQMwzA+++wzIzAw0Dh58qRhGIaxZcsWY/DgwW5pq6n8/HxDkpGfn3++LwXcxG63G/Pnzzfuv/9+Y/78+Ybdbnd3SUCNZWRkGJKMjIwMd5eC/x/vSdOyaNEiQxJf9fBr586d7v7xAGqMvx0N37nkQbeMeC9cuFBdunTRX/7yF+eyrVu3KjIyUr6+vpKkPn36aMeOHW5pOx273S673e58XFBQIEmqqKhQRUXF+b8gqHMeHh564IEHXJbxHqKhqPxZ5XdP/cF70rTccMMNqqioUHh4uPP/EQ1Rdna2brvtNn3wwQcKDw93dzkXzM/PT127duUYRIPB346G71zeN7cE7y5dulRZVlBQoM6dOzsfWywW2Ww2HTt2rM7bAgMDq6179uzZmjlzZpXlR44cUUlJybm9CABwno4ePer8fvjwYTdXA4n3pCm64YYb3F3CBav8uQ0ODlbHjh3dXE3t4PhDQ8LfjoavsLCwxn3dEryr4+HhIS8vL5dl3t7eKioqqvO20wXvGTNmaOrUqc7HBQUFCgkJUZs2beTv73/OzxkAzkdQUJDze3BwsJurgcR7goaJn1vAvTgGGz5vb+8a9603wTsoKEiZmZkuywoLC+Xp6Vnnbafj5eVVJaxLktVqldXKndkA1I3K3zf87qk/eE/QEPFzC7gXx2DDdy7vW715hwcNGqSNGzc6H+fm5sputysoKKjO29D4ORwOpaamasmSJUpNTZXD4XB3SQAAAAAaqXoTvIcMGaL8/Hy9//77kqQ5c+boqquuks1mq/M2NG4pKSkKCwtTTEyMEhMTFRMTo7CwMKWkpLi7NAAAAACNUL2Zau7h4aGFCxcqMTFR06dPl8Ph0Pr1693ShsYrJSVFCQkJGjFihJYsWaJevXopMzNTs2bNUkJCgpKTkxUfH+/uMgEAAAA0Im4N3oZhuDyOi4tTTk6ONm3apKioKLVp08ZtbWh8HA6Hpk2bphEjRmj58uXOczIiIyO1fPlyxcXF6cEHH1RsbCwzHwAAAADUmnoz4l2pQ4cO6tChQ71oQ+OSlpam3NxcLVmypMqFEKxWq2bMmKGoqCilpaVp6NCh7ikSAAAAQKNTb87xBsyWl5cnSerVq1e17ZXLK/sBAAAAQG0geKPJaN++vSRVuY1cpcrllf0AAAAAoDYQvNFkREdHKzQ0VLNmzVJFRYVLW0VFhWbPnq3OnTsrOjraTRUCAAAAaIwI3mgybDabXnrpJa1atUpxcXFKT09XYWGh0tPTFRcXp1WrVmnu3LlcWA0AAABArap3F1cDzBQfH6/k5GRNmzZNUVFRzuWdO3fmVmIAAAAATEHwRpMTHx+v2NhYpaWlKS8vT+3bt1d0dDQj3QAAAABMQfBGk2Sz2bhlGAAAAIA6wTneAAAAAACYiOANAAAAAICJCN4AAAAAAJiIc7wBoAFq18Iin+M7pYN8flof+BzfqXYtLO4uAwAA1FMEbwBogCYM8FTE1xOkr91dCSQpQqfeEwAAgOoQvAGgAXoro1S3PJmkiPBwd5cCSVnZ2XrrpUTd4O5CAABAvUTwBoAG6OcThooDLpEu6uvuUiCp+OcK/XzCcHcZAACgnuLkQAAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEHu4uAHAHh8OhtLQ05eXlqX379oqOjpbNZnN3WQAAAAAaIUa80eSkpKQoLCxMMTExSkxMVExMjMLCwpSSkuLu0gAAAAA0QgRvNCkpKSlKSEjQoUOHXJYfOnRICQkJhG8AAAAAtY7gjSbD4XBo0qRJMgxDw4YNU3p6ugoLC5Wenq5hw4bJMAxNmjRJDofD3aUCAAAAaEQI3mgyUlNTdfjwYV1xxRVasWKFIiMj1aJFC0VGRmrFihUaPHiwDh8+rNTUVHeXCgAAAKARIXijyagM1DNnzpTV6vqjb7Va9fTTT7v0AwAAAIDaQPAGAAAAAMBEBG80GUOHDpUkPfXUU6qoqHBpq6io0MyZM136AQAAAEBtIHijyRg6dKjatGmjDRs2KDY21uXiarGxsdqwYYOCg4MJ3gAAAABqlYe7CwDqis1m05tvvqmbbrpJX375pVatWuVs8/X1lSQtWLBANpvNXSUCAAAAaIQY8UaTEh8fr2XLlik4ONhleXBwsJYtW6b4+Hg3VQYAAACgsWLEG01OfHy8YmNjlZaWpry8PLVv317R0dGMdAMAAAAwBcEbTZLNZuNcbgAAAAB1gqnmAAAAAACYiOANAAAAAICJCN4AAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAibidGJokh8PBfbwBAAAA1AlGvNHkpKSkKCwsTDExMUpMTFRMTIzCwsKUkpLi7tIAAAAANEKMeKNJSUlJUUJCgq6//npNnz5dPj4+Ki4u1po1a5SQkKDk5GTFx8e7u0wAAAAAjQjBG02Gw+HQtGnTNGDAAG3btk2rVq1ytnXq1EkDBgzQgw8+qNjYWKadAwAAAKg1BG80GWlpacrNzVVubq58fHxc2o4cOaK9e/c6+w0dOtQNFQIAAKA+KCoqUnZ2tqn7yMrKcvlutvDwcPn6+tbJvlAVwRtNxoEDB5z/HjZsmB577DH16tVLmZmZeu6555wj4L/tBwAAgKYnOztbAwYMqJN9jRkzpk72k5GRof79+9fJvlAVwRtNxs8//yxJ6tOnj1asWCGr9dS1BSMjI7VixQr169dP27Ztc/YDAABA0xQeHq6MjAxT91FcXKzc3FyFhoZWmY1phvDwcNP3gdMjeKPJOHr0qCSpefPm1bZXTr2p7AcAAICmydfXt05GhwcPHmz6PlA/cDsxNBmVI9wbN25UXFyc0tPTVVhYqPT0dMXFxenbb7916QcAAAAAtYGEgSaj8oJp3bt31/bt2xUVFSV/f39FRUUpMzNT3bt3d+kHAAAAALWBqeZoMoYOHarg4GBlZ2fr+uuv14MPPuhyH+/Vq1crODiY4A0AAACgVhG80WTYbDYtWLBACQkJ+uqrr7R69Wpnm6+vrywWixYsWMA9vAEAAADUKqaao0mJj49XcnKy2rZt67K8bdu2Sk5OVnx8vJsqAwAAANBYMeKNJic+Pl6xsbFKS0tTXl6e2rdvr+joaEa6AQAAAJiC4I0myWazcS43AAAAgDrBVHMAAAAAAExE8AYAAAAAwERMNUe9VFRUpOzsbFP3UVxcrNzcXIWGhsrHx8fUfUlSeHi4fH19Td8PAAAAgPqF4I16KTs7WwMGDHB3GbUqIyND/fv3d3cZAAAAAOoYwRv1Unh4uDIyMkzdR1ZWlsaMGaPFixcrIiLC1H1Jp54TAAAAgKaH4I16ydfXt85GhyMiIhiJBgAAAGAaLq4GAAAAAICJCN4AAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAiQjeAAAAAACYiOANAAAAAICJCN4AAAAAUIfy8/N1xRVXqFOnTrriiiuUn5/v7pJgMg93FwAAAAAATUVYWJh2797tfLxv3z4FBASoa9eu2rVrlxsrg5kY8QYAAACAOvDb0H3NNdcoPT1d11xzjSRp9+7dCgsLc2d5MBEj3gAAAABgsvz8fGfoPnnypHx9fSVJa9asUVFRkZo3b67du3crPz9fLVu2dGepMAEj3gAAAABgsuuvv17SqZFuDw8Pvfzyy5o8ebJefvlleXh46Oqrr3bph8aFEW8AAAAAMNnevXslSUFBQWrevLnKy8udbdOnT1dCQoJLPzQujHgDAAAAgMk6deokSfroo4/UqlUrLVq0SHl5eVq0aJFatWqljz/+2KUfGhdGvAEAAADAZJ999pmCg4MlSTt37pS/v78kafz48br55pud53V/9tlnbqsR5mHEGwAAAABM9uGHHzr/3bJlSw0fPlxpaWkaPny4y8XUftsPjUe9C96TJ0+WxWJxflVeUj8zM1ODBg1SYGCgpk+fLsMwnOuY0QYAAAAAtaXyiuahoaGSpLVr12rIkCFau3aty/Lf3uMbjUe9C94ZGRlavXq1jh07pmPHjun777+X3W7XyJEjNWDAAG3atEk7duxQUlKSJJnSBgAAAAC1qWvXrpKkxx57TMePH9fgwYMVEhKiwYMH6/jx45oxY4ZLPzQu9Sp4l5eXKzMzU0OGDFFAQIACAgLk5+enNWvWKD8/X/PmzVPXrl01a9YsvfPOO5JkShsAAAAA1KZ7771XHh4eevzxx9W8eXNt2LBBe/fu1YYNG9S8eXM9+eST8vDw0L333uvuUmGCehW8t23bJsMw1LdvX/n4+Oiaa67R3r17tXXrVkVGRjpvMt+nTx/t2LFDkkxpAwAAAIDa5OnpqSlTpujQoUPq2LGjFi5cqIMHD2rhwoXq2LGjDh06pClTpsjT09PdpcIE9eqq5llZWerZs6deffVVtW7dWg888IAmTJigHj16qHPnzs5+FotFNptNx44dU0FBQa23BQYGVluf3W6X3W53Pi4oKJAkVVRUqKKiotZeB9SNyveM9w8NzYkTJyRJmzZtatA/uyUlJcrNzVVoaKi8vb3dXc4FycrKksTvEzQs/B0E6t6cOXNkGIZefvllTZgwwbncw8NDDz74oObMmcPx2ICcy3tVr4L36NGjNXr0aOfj1157TV26dFF4eLi8vLxc+np7e6uoqEgeHh613na64D179mzNnDmzyvIjR46opKTknJ4r3O/o0aPO74cPH3ZzNUDNfffdd5Lk8gcb9UNpaSm/T9Bg8HcQcI9p06Zp8uTJSkpKcn4APXbsWHl6enIsNjCFhYU17luvgvfvBQQEqKKiQu3atVNmZqZLW2FhoTw9PRUUFFTrbaczY8YMTZ061fm4oKBAISEhatOmjfM+fGg4goKCnN8r76kINAS33Xab/Pz8FB4e7jxdpiHKzs7Wbbfdpg8++EDh4eHuLueC+fn5qVu3bu4uA6gx/g4C7vX444+7uwRcoHOZsVevgvfUqVMVGRmpm2++WdKpUR2r1arevXvr7bffdvbLzc2V3W5XUFCQBg0aVOttp+Pl5VVllFySrFarrNZ6dbo8aqDyPeP9Q0MTHByse+65x91lXLDK465Hjx7q37+/m6sBmh7+DgLAhTmX35316rds37599dhjj+nrr7/WV199pcmTJ2vs2LG6+uqrlZ+fr/fff1/SqXMjrrrqKtlsNg0ZMqTW2wAAAAAAqC31asT79ttvV1ZWlmJjY+Xn56cbb7xRs2bNkoeHhxYuXKjExERNnz5dDodD69evlyRT2gAAAAAAqC31KnhLpy5gNnv27CrL4+LilJOTo02bNikqKkpt2rQxtQ0AAAAAgNpQ74L3mXTo0EEdOnSoszYAAAAAAC5UvTrHGwAAAACAxqZBjXij/sjJyTmn+9bVR1lZWS7fGzpuZQQAAADUTwRvnLOcnBxdcskl7i6j1owZM8bdJdSanTt3Er4BAACAeobgjXNWOdK9ePFiRUREuLma81dcXKzc3FyFhobKx8fH3eVckKysLI0ZM6bBz0IAAAAAGiOCN85bRESE+vfv7+4yLsjgwYPdXQIAAACARo6LqwEAAAAAYCKCNwAAAAAAJiJ4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAirmoOAABQzxQVFSk7O9vUfWRlZbl8N1t4eLh8fX3rZF8AUN8QvAEAAOqZ7OxsDRgwoE72NWbMmDrZT0ZGRoO/DSkAnC+CNwAAQD0THh6ujIwMU/dRXFys3NxchYaGysfHx9R9SaeeEwA0VQRvAACAesbX17dORocHDx5s+j4AAFxcDQAAAAAAUxG8AQAAAAAwEcEbAAAAAAATEbwBAAAAADARwRsAAAAAABMRvAEAAAAAMBG3E8N5adfCIp/jO6WDfHZTH/gc36l2LSzuLgMAAABANQjeOC8TBngq4usJ0tfurgSSFKFT7wkAAACA+ofgjfPyVkapbnkySRHh4e4uBZKysrP11kuJusHdhQAAAACoguCN8/LzCUPFAZdIF/V1dymQVPxzhX4+Ybi7DAAAAADV4ARdAAAAAABMxIg3AAAAANQhh8OhtLQ05eXlqX379oqOjpbNZnN3WTARI94AAAAAUEdSUlIUFhammJgYJSYmKiYmRmFhYUpJSXF3aTARwRsAAAAA6kBKSooSEhLUu3dvpaenq7CwUOnp6erdu7cSEhII340YwRsAAAAATOZwODRt2jSNGDFCy5cvV2RkpFq0aKHIyEgtX75cI0aM0IMPPiiHw+HuUmECzvHGOSsqKpIkbd682c2VXJji4mLl5uYqNDRUPj4+7i7ngmRlZbm7BAAAAJxBWlqacnNztWTJElmtruOfVqtVM2bMUFRUlNLS0jR06FD3FAnTELxxzrKzsyVJd999t5srwe/5+fm5uwQAAABUIy8vT5LUq1evatsrl1f2Q+NC8MY5i4uLkySFh4fL19fXvcVcgKysLI0ZM0aLFy9WRESEu8u5YH5+furWrZu7ywAAAEA12rdvL0nKzMxUZGRklfbMzEyXfmhcCN44Z61bt9b48ePdXUatiYiIUP/+/d1dBgAAABqx6OhohYaGatasWVq+fLnLdPOKigrNnj1bnTt3VnR0tBurhFm4uBoAAAAAmMxms+mll17SqlWrFBcX53JV87i4OK1atUpz587lft6NFCPeAAAAAFAH4uPjlZycrGnTpikqKsq5vHPnzkpOTlZ8fLwbq4OZCN4AAAAAUEfi4+MVGxurtLQ05eXlqX379oqOjmaku5EjeAMAAABAHbLZbNwyrInhHG8AAAAAAEzEiDfqpaKiIuf9ws2SlZXl8t1sDf32awAAAADOD8Eb9VJ2drYGDBhQJ/saM2ZMnewnIyOD25YBAAAATRDBG/VSeHi4MjIyTN1HcXGxcnNzFRoaKh8fH1P3JZ16TgAAAACaHoI36iVfX986GR0ePHiw6fsAAAAA0LRxcTUAAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAExE8AYAAAAAwEQEbwAAAAAATETwBgAAAADARARvAAAAAABMRPAGAAAAAMBEBG8AAAAAAEzk4e4CAAAAAKApcTgcSktLU15entq3b6/o6GjZbDZ3lwUTMeINAAAAAHUkJSVFYWFhiomJUWJiomJiYhQWFqaUlBR3lwYTNfngnZmZqUGDBikwMFDTp0+XYRjuLgkAAABAI5SSkqKEhAT17t1b6enpKiwsVHp6unr37q2EhATCdyPWpIO33W7XyJEjNWDAAG3atEk7duxQUlKSu8sCAAAA0Mg4HA5NmzZNI0aM0PLlyxUZGakWLVooMjJSy5cv14gRI/Tggw/K4XC4u1SYoEkH7zVr1ig/P1/z5s1T165dNWvWLL3zzjvuLgsAAABAI5OWlqbc3Fw9+uijslpdY5jVatWMGTP0448/Ki0tzU0VwkxN+uJqW7duVWRkpHx9fSVJffr00Y4dO07b3263y263Ox8XFBRIkioqKlRRUWFusQBQh4qKipSdnW3qPiq3v2PHjjr5HRoeHu78fQ8AQF07cOCAJKlHjx7V/t3r0aOHsx/ZomE4l/epSQfvgoICde7c2fnYYrHIZrPp2LFjCgwMrNJ/9uzZmjlzZpXlR44cUUlJiam1AkBd2rZtm4YPH14n+7rtttvqZD9ffPGF+vTpUyf7AgDg93x8fCSdGvkeMGBAlfZNmzY5+x0+fLhOa8P5KSwsrHFfi9GEryb28MMPq6ysTPPmzXMuCwkJ0caNG9WhQ4cq/asb8Q4JCdGxY8fk7+9fJzUDQF2oixHvkpIS5ebmKjQ0VN7e3qbuS2LEGwDgXg6HQ5dccol69eqlzz77zGW6eUVFhW688Ub973//0w8//MCtxRqIgoICBQYGKj8//6x5sEmPeAcFBSkzM9NlWWFhoTw9Pavt7+XlJS8vryrLrVZrlfM0AKAha9GihQYOHGj6fq644grT9wEAQH1gtVr10ksvKSEhQfHx8ZoxY4Z69eqlzMxMzZ49W6tXr1ZycrKaNWvm7lJRQ+eSAZt0Whw0aJA2btzofJybmyu73a6goCA3VgUAAACgMYqPj1dycrK2b9+uqKgo+fv7KyoqSpmZmUpOTlZ8fLy7S4RJmvRU8/Lycl100UWaO3eubr/9dk2cOFEHDhzQypUra7R+QUGBWrZsWaOpBQAAAAAgnZp2npaWpry8PLVv317R0dFML2+AziUPNungLUnLly9XYmKi/Pz85HA4tH79evXs2bNG6xK8AQAAAKBpOpc82KTP8ZakuLg45eTkaNOmTYqKilKbNm3cXRIAAAAAoBFp8sFbkjp06FDtVcwBAAAAALhQTfriagAAAAAAmI3gDQAAAACAiQjeAAAAAACYiOANAAAAAICJCN4AAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAiQjeAAAAAACYiOANAAAAAICJCN4AAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAiTzcXUBDZhiGJKmgoMDNlQAAAAAA6lJlDqzMhWdC8L4AhYWFkqSQkBA3VwIAAAAAcIfCwkK1bNnyjH0sRk3iOapVUVGhgwcPys/PTxaLxd3l4BwVFBQoJCRE+/btk7+/v7vLAZocjkHAvTgGAffiGGz4DMNQYWGhLrroIlmtZz6LmxHvC2C1WtWxY0d3l4EL5O/vzy87wI04BgH34hgE3ItjsGE720h3JS6uBgAAAACAiQjeAAAAAACYiOCNJsvLy0tPPfWUvLy83F0K0CRxDALuxTEIuBfHYNPCxdUAAAAAADARI94AAAAAAJiI4A0AAAAAgIkI3qgTSUlJ6tu3r8syi8WiLVu2OB/n5uae0/3Qk5KSNHTo0POqZ/Xq1QoPD1dAQIASEhKUn59/1nWefvppjR079rz2dzYX8lyA85GUlCSLxSKLxSIvLy8NGjRI33333QVt70J+hs04Bvr27av333+/VrcJ1IWnn35aFotFq1atkiS98cYbslgsSkpKcm9h1eA4A04vNTXV+be2WbNm6t27t7744gulpqYqNDS02nUq/z7bbDZ16tRJDz30kEpLS+u2cJiC4I16o1OnTjp27Jjp+9m/f78SExM1b948bd68WQcOHNDTTz9t+n6B+qZXr146duyY9u/fr+uvv14JCQnuLqlWBQQEqHPnzu4uAzhv//vf/1y+X6jQ0FClpqbWyrYqcZwBZ+bv769jx45p7969euCBB5SQkKCDBw+ecZ1evXrp4MGDevXVV/Xhhx/q3nvvraNqYSaCN+oNq9WqgIAA0/fz7bffqm3btrruuuvUpUsXPf3007Lb7abvF6hvbDabAgIC1KZNG91zzz3au3evDh8+7O6yalXr1q3dXQJwXmw2mzNwZ2Zmymazubmi0+M4A07PYrEoICBA7du31913363Q0NCzzvC02Wxq27atYmNj9fe//13vvfeejh49WkcVwywEb9Qbp5tqvm3bNvXq1UutW7fW1KlTFR4erldffdXZvmjRIrVt21bBwcFKTk4+637CwsK0e/duvf322zIMQ8OHD9cbb7zhbF+yZIm6deumli1b6tZbb60yDf2vf/2rAgICdPHFFystLc25PDk5Wd27d1fr1q11//33q6SkpEZtQH3w6aef6qKLLlKrVq2UkpKiSy65RM2bN1dMTIwOHDjg7Pfll1+qT58+8vPz07XXXqv9+/e7bOd0x+M///lP9e7dWwEBARo/fnyNP+w607ETGhqqf/3rX3r00UfVrl07bd261WXd1NRURUREVNnm3Llz1b59e/n7++vPf/4zH7yhXho4cKAzeGdnZ6t///6SpLS0NPXt21e+vr4aNGiQMjMzneusXbtWERER8vX11eDBg7V7925J0jXXXCOLxaKffvpJMTExslgsmjNnjnO9Mx2fHGdA7fLw8FBZWZkk6R//+IcuvvhiBQYG6m9/+1u1/YcNG1bl9Ew0TARv1Jnt27crICDA+VVTEydO1OjRo/XVV1/pnXfe0bvvvqsxY8ZIOjX9btmyZdqwYYPGjh2rqVOnnnV7l156qV5++WVNnjxZvXv31urVq51t6enpuvvuuzVv3jxt3bpVhw4d0lNPPeVs//zzz7Vr1y5t3rxZgwcP1mOPPSZJ2rRpk+644w49//zz2rBhgzZt2qRHHnnkrG2AO1Uek82bN9fDDz+sDz/8UPn5+frzn/+sxx9/XLt27VJQUJCeffZZSac+HLvhhhs0depUZWVlKSAgQPfff79ze6c7Hnfv3q3Y2FhNmTJFGRkZysjI0IsvvnjW+mpy7DzxxBM6ePCglixZoq5du551m9nZ2XrkkUf0ySefaPPmzdq1a1e9PG8W6Natm3Jzc3Xw4EEFBATI19dXFRUVSkhI0KhRo7Rnzx5FRUVp+vTpznVuv/12jRs3Tjt37lSvXr30+OOPS5KWLVumY8eOKSQkRCtXrtSxY8c0ZcoUSTU7PjnOgNqxbt06/fDDDyorK9Ovv/6qOXPmaPXq1Zo5c6amT5+u4uLiKut4eHiodevWjW5GWlNE8Ead6d69u7Zs2eL8qqktW7bopptuUp8+fdSjRw/l5uYqMDBQknTixAm999576tatm8aPH699+/bVaJuTJ0/Wjz/+qGHDhik2Ntb5KeO7776r2267TSNHjlRoaKjefPNNxcbGOtez2WxauHChunTporFjxzr3t2jRIo0ePVpxcXEKDw/XvHnztHDhQhmGccY2wJ0qj8nvvvtO48aN0/jx42Wz2bR3714lJCQoJydHpaWl2rlzpyTpo48+0pAhQzR27Fh17NhRL774osaPH+/c3umOxyVLlqhfv36666671LVrV02cOFH/+Mc/zlpfTY6dli1bKikpSTExMWrRosVZt+nt7S1Jstvt6tSpk7799lvdfffd5/S6AXXBZrOpc+fOWrlypfr06eNcvnXrVk2dOlU//fSTCgsLncenJPn4+Mhut6tly5Z68803tXjxYklS8+bNFRAQIKvVqhYtWiggIEBeXl6SanZ8cpwB5y8/P18BAQHy9vbWqFGj9MYbb6hr1646ceKEFixYoF69emnixIkqLS09bbi2WCz8v7ERIHijznh6eio0NNT5VVNhYWFKT0/X0aNHlZOTox49ejjbIiIi1LZtW+f2ayI3N1f79u1Tu3bt9Morr+jtt9/Www8/LLvdrv3797vU1r17d8XExDgf/+EPf3D+h8LT09P5S3Dfvn3q0qWLs1+XLl1UXFysX3755YxtgDtVHpM9evTQa6+9psOHD+uLL77QI488oosuukiPPPKIysvL5XA4JKnK8dGxY0eNGDHC+fh0x+OBAwe0efNm52yXadOmae/evWetrybHzuTJk8/pOYeGhurtt9/WI488olatWumWW27hWES91adPHy1dutQZvK1Wq+bNm6cOHTrovvvuU35+vvP4lE6F6NTUVLVv315XXHGFNm/efNZ91OT45DgDzp+fn5+2bNmi3bt369ixY8475AQGBurSSy+V9P/+ZlYXrh0Oh3755Rfn31c0XARv1Hs9e/bUAw88oHbt2un22293/pKSTl0p8lzNnz9fTz75pPPxsGHDVFJSopKSEoWEhOjHH390tv373//Wtddee9b9derUSXv27HE+3r17t3x9fdW6desztgH1iWEY2rt3r9avX6/9+/frP//5j0aOHOls//3xsXPnTvXr108VFRWSTn98dOzYUTfccINztsvWrVu1bt26s9ZTk2OnefPm5/Qc9+/frz59+igjI0N79+7VsWPH9Mwzz5zTNoC60qdPH3311VcuI94LFixQVlaWNm3apHHjxjmXnzx5UidPntS6det09OhRRUdH66677nLZntVqrfIf+5ocnxxnwPmzWq0KDQ1Vhw4dXK5lVNP/w65fv14Wi0UDBgwwq0TUEYI36rU9e/bo66+/1jfffKPdu3dr3rx5F7zN4cOHKzk5WWvXrtW+ffv09NNPKzIyUi1bttSdd96pxYsXa9WqVfrxxx81e/ZsderU6azbHD9+vD788EMtX75cP/zwg6ZNm6Z77rlHFovljG2AOzkcDh0/flz79u3To48+KrvdrpMnT0qSjh49qjVr1uiZZ55x/kf9z3/+s9LS0pSUlKR9+/bp2WefVXBwsKzWM/8pqVwvJydHkvTKK6/ozjvvPGt9Zhw7O3bs0LXXXqtvvvlGJ0+elMVicX5wANQ3lYG78vuJEycknZq6+s0332jq1KnO47OiokLXX3+9Fi9erF9++UVWq7XKz3ZYWJj++c9/Ki8vT19++aWk8z8+z4TjDLgwDodDhw4d0qpVqzR27Fjdd999atmypbvLwgUieKNeCw0NVdu2bXXllVeqc+fO8vHx0cSJEy9om9ddd51mzpypu+++Wz179lReXp6WLFkiSYqMjNSiRYs0ZcoU9e/fX+3atavRRaAGDhyo9957Tw8//LAGDx6sAQMGaPbs2WdtA9wpMzNTgYGB6tatm9auXauUlBRNmTJF3bp1U0REhGbOnKkJEyYoOztbJSUlCg0N1YoVKzRv3jz17NlTx48f17vvvnvW/XTp0kXvvfeepk6dqp49eyozM9N5zJ2JGcfO1VdfrQkTJmjUqFG65JJLZBiG8yKJQH1z6aWXyt/f33mKh7e3t2644Qb1799fEydO1N13362DBw/q0KFD8vPz0+LFi/Xcc8+pa9euWrlypRYsWOCyvblz5+qf//ynOnfurJkzZ0o6/+PzTDjOgAuTmZmpiy66SA888IAmTpxYo/+Lov6zGJypj3rsnXfe0dKlS/X222/L19dXW7du1XXXXafDhw+f1zRzAAAAAKhrHu4uADiTP/7xj/roo4/Uq1cvFRcXq3PnznrppZcI3QAAAAAaDEa8AQAAAAAwEed4AwAAAABgIoI3AAAAAAAmIngDAAAAAGAigjcAAAAAACYieAMAgNP617/+pfz8fFO2XVZWprKysrP2KS0tNWX/AADUFYI3AACN2LvvvqvExERJ0s8//6xDhw5p7969GjRo0FlDryQ9+eSTeu+99855vy1btlRqauoZ+7zxxhtq06aNWrdu7fyyWq0KDAx0Pm7Tpo3mz59/zvsHAKA+4XZiAAA0QmvWrNHdd98tu92u4uJi+fn5KSEhQa1bt1a/fv20aNEirVy50mWdfv36qbS0VM2aNVNZWZlsNpuOHz8uh8OhNm3aOPuVlJSoV69eSk5OPu3+O3bsqCVLlig6OvqMdZaUlMjb29v5OCAgQKmpqerbt68kadeuXQoLCzuPVwAAgPqDEW8AABqhq6++Wrt27dLf/vY33XTTTfruu++0du1aTZkyRampqSotLdWzzz6rZ555Rk899ZR++uknff/99/rf//6nDRs2qHnz5ho3bpz27t2rAwcO6OOPP9Y111yjb7/9VtnZ2c7QbRiGKioqquzfw8NDR48edT7esGGDZs+e7dLHMAwNHjxY69atq/Y55OTkqEePHsrMzKzFVwYAgLpH8AYAoJEpLy9XWVmZPD09ZbFYZLFY9Oyzz+r++++Xl5eXUlJSZLFYtHHjRj399NPasGGD8zzunJwc/eEPf1BQUJA6duyoDz74QK+//rreffddvfzyyxo4cKC2bdvm3Nfq1atls9nk4eHh/MrIyJAkrV27VpK0fft2jRo1Sg6HQ7+daGexWDRixAiNHz9ehYWFVZ7HnDlzFBUVpV69epn5cgEAYDqmmgMA0MisW7dOd955p5o1ayar1aqffvpJQUFB8vHx0aBBg7R9+3b98MMPOnLkiAYOHKiffvrJue7Jkyf1xBNP6KKLLlKrVq0UGBgof39/+fv7KzAwUJs3b5YkjRo1SpKcU9n9/f21Z88e9e3bV8eOHVO3bt3066+/6oUXXtBzzz2nBQsWaOTIkVVqLS0tVUREhOLj4/Xiiy86p5qXl5crKipK3377rfr161c3LxwAACbxcHcBAACgdv3pT3/S/v37VVpaqmnTpmnfvn368MMP5evrqyFDhujEiROSpD179qhLly4u6zZv3lyZmZlKSUk57fb/97//Of/t5eUlLy8vSdJnn32mq6++Ws2aNZN0KpxPmTJFGzZs0MCBA6vdlqenp2bMmKFvv/3WZfmbb76p8ePHE7oBAI0CwRsAgEbo888/14QJE2Sz2WQYhlq0aKE//vGPuvzyy+Xv76/t27dr69at1Qbbw4cPa9WqVVWmeJeXl6tZs2by8Kj634fS0lK9+uqreuutt5zLxo0bp2+++UY//fRTleBtt9tlsVjk6empsWPHaty4cS7tr7/+uvM2YqWlpXI4HPLx8Tnv1wMAAHcieAMA0MikpqbqkUce0bJly9SvXz+NGDFCI0aM0PPPP68WLVpo0aJFWrJkiX788UfddNNNVdb38PBQQkKCy9XGf8tms1VZ9vzzz6t9+/a69tprncu8vLy0aNEixcbGKjQ0VAMGDHC2Pffcc3rllVeco+OVCgoKFBMT47KP0tJSRUdHa/Xq1ef8WgAAUB9wjjcAAI2QYRgqKyvTrl271KtXL82aNUvZ2dlKTExUZGSk+vTpo/LycuXk5FQZSR44cKBefvllhYeHuyx3OBxq166dysrKXEa9V65cqVtuuUXp6em69NJLJUmhoaFKTk7WwIED9fe//10PPPCAXn/9dd12222yWk9/bdff304MAIDGgBFvAAAamR9++EF/+tOfZLfb1bt3b1ksFgUHBysmJka9e/eW1WpVUFCQmjdvLk9Pz2q3kZiYeNq231q6dKnGjBmjt956yxm6f++uu+6Sl5eXJk2apOTkZH322WfVTlcHAKCxYsQbAIBG6IcfflD37t0lnZrybbfbJUkHDx7UqFGj1LNnT+3evVt+fn5asGCB2rdv71y3f//+ev/996uc43306FG1atVK5eXlzqngdrtd69at04gRIySdGhV3OBy66KKLtHbtWvXv39+5/u7du+Xh4aGLL774tHX7+fkpNTXVZVo6AAANHffxBgCgEerevbv++9//6oorrlC7du1UXl6ue++9V5deeqlGjRqlhQsX6vPPP1fr1q3VvXt35ebmOtetvKjZb2VmZuriiy/W4MGDXc6/9vLycoZuSfrPf/4jX19fXXTRRerWrZvLNrp27XrG0C1JxcXFKikpOc9nDQBA/cSINwAAjVRBQYGWL1+u6667Tq1bt1ZycrKGDBmi4OBgl365ubkKDQ096/by8vJcRsarU1FRoZ07d1Y5PxwAgKaM4A0AAAAAgImYag4AAAAAgIkI3gAAAAAAmIjgDQAAAACAiQjeAAAAAACYiOANAAAAAICJCN4AAAAAAJiI4A0AAAAAgIkI3gAAAAAAmIjgDQAAAACAif4/jRgI59quHTQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3.1 教育水平与薪资（箱线图）\n",
    "education_order = [\"High School\", \"Bachelor's\", \"Master's\", \"PhD\"]\n",
    "data_edu = data[data['Education Level'].isin(education_order)]\n",
    "\n",
    "# 准备箱线图数据\n",
    "edu_data = [data_edu[data_edu['Education Level'] == level]['Salary'] \n",
    "            for level in education_order]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.boxplot(edu_data, labels=education_order)\n",
    "\n",
    "plt.title('不同教育水平的薪资分布')\n",
    "plt.xlabel('教育水平')\n",
    "plt.ylabel('薪资')\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "8703d0aa-3050-4119-8b6b-0272bc9a9143",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3.2 教育水平与工作经验对薪资的综合影响\n",
    "education_salary = data_edu.groupby('Education Level')['Salary'].median()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "education_salary.loc[education_order].plot(kind='bar', color='teal')\n",
    "\n",
    "plt.title('教育水平与薪资中位数')\n",
    "plt.xlabel('教育水平')\n",
    "plt.ylabel('薪资中位数')\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "\n",
    "# 添加数值标签\n",
    "for i, v in enumerate(education_salary.loc[education_order]):\n",
    "    plt.text(i, v + 1000, f'{v:,.0f}', ha='center')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8ec0f13-d93b-4ca0-8790-489f4228b992",
   "metadata": {},
   "source": [
    "### 总结分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "73d81377-989a-41d4-87a9-f4bfc1ed198c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1787 entries, 0 to 6631\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Age                  1787 non-null   float64\n",
      " 1   Gender               1787 non-null   object \n",
      " 2   Education Level      1787 non-null   object \n",
      " 3   Job Title            1787 non-null   object \n",
      " 4   Years of Experience  1787 non-null   float64\n",
      " 5   Salary               1787 non-null   float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 97.7+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "2fa0880e-2602-483c-988c-791f7eaf5fa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集中的平均工资约为 113184.7，中位数为 110000.0。\n"
     ]
    }
   ],
   "source": [
    "print('数据集中的平均工资约为 113184.7，中位数为 110000.0。')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "30db6caa-535e-4154-b18e-8d9b1642bfc2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "男性工资平均是女性工资的1.10倍\n"
     ]
    }
   ],
   "source": [
    "Male_salary=data[data['Gender']=='Male']['Salary'].mean()\n",
    "Female_salary=data[data['Gender']=='Female']['Salary'].mean()\n",
    "a=Male_salary/Female_salary\n",
    "print(f'男性工资平均是女性工资的{a:.2f}倍')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "6037d892-2806-4823-9cc4-a55eeb9b3162",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "较高的教育水平与较高的工资密切相关。\n"
     ]
    }
   ],
   "source": [
    "print('较高的教育水平与较高的工资密切相关。')"
   ]
  }
 ],
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